Hewlett-packard Development Company, L.p.

Samson J Liu

Suk Hwan Lim

Jian Fan

Jerry J Liu

Yuhong Xiong

Steven J Simske

Ping Luo

Nina Bhatti

Parag Mulendra Joshi

Jian-Ming Jin

Sheng-Wen Yang

Giordano Bruno Beretta

Li-Wei Zheng

A system and method to error correct extant electronic documents is disclosed. An electronic document may be rasterized to obtain a pixel representation of the electronic document (e.g., raster image). One or more optical character recognition (OCR) tasks may be performed on the raster image of the electronic document. Errors discovered by the OCR tasks may be corrected and a customized error corrected version of the electronic document may be created and stored. If the author of the electronic document is known, the raster image may be compared to a personalized tf*idf error dictionary associated with the author to determine known OCR errors specific to the author. The raster image may also be compared to a personalized electronic error dictionary associated with the author to determine known typographical errors specific to the author.

Redigitization system and service

A method for producing web page content includes identifying blocks within a web page. The blocks are selectively assembled into sections. The sections are selectively assembled into article candidates. An article candidate that includes article content is distinguished from article candidates that do not include article content. Content is produced only from the article candidate distinguished as including article content.

Producing web page content

Examples disclosed herein relate to categorizing a target word based on word distance. A processor may determine a difference level threshold for a category based on difference levels between words associated with the category and determine difference levels between a target word and the words associated with the category. If one of the difference levels of the target word is below the threshold associated with the category, the processor outputs the category.

Categorization based on word distance

Semantically ranking content in a website () with a computerized ranking device () includes: parsing content from the website () into multiple autonomous content blocks (-to-) with the computerized ranking device () and assigning an importance ranking with said computerized ranking device () to each of the content blocks (-to-) based on a degree to which a substance of the content block (-to-) is relevant to one of a plurality of predefined categories.

Semantically ranking content in a website

A method and system for extracting Web content is disclosed. In one embodiment, Web content in a Webpage is extracted by identifying paragraphs in the Web content based on line-break node determination. A range of text-body associated with the identified paragraphs is then identified using a maximum scoring subsequence. Further, the identified text-body is refined using a heuristic rule of substantially horizontal alignment. Furthermore, one or more titles and one or more images associated with the Web content are extracted. Moreover, the Web content including the identified paragraphs, the one or more titles and the one or more images are outputted.

System and method for web content extraction

A method of grouping a plurality of media content is provided. The method includes converting at least a portion of the media content into at least one document object model ('DOM') using a processor. The DOM can include a plurality of block elements, each comprising at least one content object. The method includes apportioning the content objects into a relevant portion and an irrelevant portion and extracting a set of keywords, the set comprising at least one keyword, within the relevant portion of the content objects. The method includes apportioning the relevant portion of the content objects into a related portion and an unrelated portion using at least a portion of the set of keywords and grouping the related portion of the content to provide a group of related content.

Growing community of inventors

Mountain View, CA, United States of America

Samson J Liu